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Associations of DNMT3B −149C>T and −2437T>A polymorphisms and lung cancer risk in Chinese population

Overview of attention for article published in World Journal of Surgical Oncology, November 2016
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Title
Associations of DNMT3B −149C>T and −2437T>A polymorphisms and lung cancer risk in Chinese population
Published in
World Journal of Surgical Oncology, November 2016
DOI 10.1186/s12957-016-1052-9
Pubmed ID
Authors

Min Gao, Daqiang He, Fanji Meng, Jianing Li, Yan Shen

Abstract

DNMT3B polymorphisms are associated with the susceptibility of lung cancer. DNMT3B -2437T>A is a novel polymorphism, and its influence on the risk of lung cancer in Chinese was investigated in this study. In addition, effect of DNMT3B -149C>T polymorphism on lung cancer was also explored. Genotyping in subjects were performed by PCR-RFLP. Haplotype frequencies were estimated by estimating haplotype software. Adjusted odds ratios (ORs) with 95% confidence intervals (CIs) were calculated by unconditional logistic regression analysis. Neither of the two polymorphisms was correlated with lung cancer (-149C>T: CT+TT vs CC: OR = 0.78, 95%CI, 0.57 to 1.05, P = 0.361; -2437T>A: AT+AA vs TT: OR = 0.99, 95%CI, 0.74 to 1.33, P = 0.168). In stratification analysis, T-allele carrier genotype of -149C>T polymorphism resulted in a reduced lung cancer risk at stage II, compared with CC (OR = 0.46, 95%CI, 0.28 to 0.77, P = 0.023). In haplotype analysis, when -149C/-2437T was used as reference, the other combined genotypes of the two polymorphisms had no significant effect on lung cancer risk (P > 0.05). The two DNMT3B polymorphisms are not correlated with lung cancer risk among Chinese population nor the haplotype of them.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Student > Bachelor 1 14%
Student > Doctoral Student 1 14%
Student > Master 1 14%
Student > Postgraduate 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Medicine and Dentistry 2 29%
Engineering 1 14%
Unknown 2 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 April 2017.
All research outputs
#14,341,817
of 22,965,074 outputs
Outputs from World Journal of Surgical Oncology
#444
of 2,052 outputs
Outputs of similar age
#225,234
of 415,847 outputs
Outputs of similar age from World Journal of Surgical Oncology
#7
of 16 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,052 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 75% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 415,847 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.